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DBMS > BoltDB vs. JanusGraph vs. OpenQM vs. Virtuoso

System Properties Comparison BoltDB vs. JanusGraph vs. OpenQM vs. Virtuoso

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Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonVirtuoso  Xexclude from comparison
DescriptionAn embedded key-value store for Go.A Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017QpenQM is a high-performance, self-tuning, multi-value DBMSVirtuoso is a multi-model hybrid-RDBMS that supports management of data represented as relational tables and/or property graphs
Primary database modelKey-value storeGraph DBMSMultivalue DBMSDocument store
Graph DBMS
Native XML DBMS
Relational DBMS
RDF store
Search engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#220  Overall
#31  Key-value stores
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Score4.26
Rank#78  Overall
#13  Document stores
#4  Graph DBMS
#2  Native XML DBMS
#42  Relational DBMS
#2  RDF stores
#9  Search engines
Websitegithub.com/­boltdb/­boltjanusgraph.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmvirtuoso.openlinksw.com
Technical documentationdocs.janusgraph.orgdocs.openlinksw.com/­virtuoso
DeveloperLinux Foundation; originally developed as Titan by AureliusRocket Software, originally Martin PhillipsOpenLink Software
Initial release2013201719931998
Current release0.6.3, February 20233.4-127.2.11, September 2023
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache 2.0Open Source infoGPLv2, extended commercial license availableOpen Source infoGPLv2, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaC
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Unix
Windows
AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
AIX
FreeBSD
HP-UX
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesyes infowith some exceptionsyes infoSQL - Standard relational schema
RDF - Quad (S, P, O, G) or Triple (S, P, O)
XML - DTD, XML Schema
DAV - freeform filesystem objects, plus User Defined Types a/k/a Dynamic Extension Type
Typing infopredefined data types such as float or datenoyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonoyesyes
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnononoyes infoSQL-92, SQL-200x, SQL-3, SQLX
APIs and other access methodsJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ADO.NET
GeoSPARQL
HTTP API
JDBC
Jena RDF API
ODBC
OLE DB
RDF4J API
RESTful HTTP API
Sesame REST HTTP Protocol
SOAP webservices
SPARQL 1.1
WebDAV
XPath
XQuery
XSLT
Supported programming languagesGoClojure
Java
Python
.Net
Basic
C
Java
Objective C
PHP
Python
.Net
C
C#
C++
Java
JavaScript
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresnoyesyesyes infoVirtuoso PL
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)yesyes
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesyesChain, star, and bi-directional replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Faunus, a graph analytics enginenoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnoUser authentification and security via Rexster Graph ServerAccess rights can be defined down to the item levelFine-grained Attribute-Based Access Control (ABAC) in addition to typical coarse-grained Role-Based Access Control (RBAC) according to SQL-standard. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
BoltDBJanusGraph infosuccessor of TitanOpenQM infoalso called QMVirtuoso
Specific characteristicsVirtuoso is a modern multi-model RDBMS for managing data represented as tabular relations...
» more
Competitive advantagesPerformance & Scale — as exemplified by DBpedia and the LOD Cloud it spawned, i.e.,...
» more
Typical application scenariosUsed for — Analytics/BI Conceptual Data Virtualization Enterprise Knowledge Graphs...
» more
Key customersBroad use across enterprises and governments including — European Union (EU) US Government...
» more
Market metricsLargest installed-base ​of Multi-Model RDBMS for AI-friendly Knowledge Graphs Platform...
» more
Licensing and pricing modelsAvailable in both Commercial Enterprise and Open Source (GPL v2) Editions Feature...
» more

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BoltDBJanusGraph infosuccessor of TitanOpenQM infoalso called QMVirtuoso
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